Striving to Earn More: A Survey of Work Strategies and Tool Use Among Crowd Workers

Authors

  • Toni Kaplan Carnegie Mellon University
  • Susumu Saito Waseda University
  • Kotaro Hara Singapore Management University
  • Jeffrey Bigham Carnegie Mellon University

DOI:

https://doi.org/10.1609/hcomp.v6i1.13327

Keywords:

Crowdsourcing, Amazon Mechanical Turk, Worker Survey, Work Strategies, Crowd Work Tools

Abstract

Earning money is a primary motivation for workers on Amazon Mechanical Turk, but earning a good wage is difficult because work that pays well is not easily identified and can be time-consuming to find. We explored the strategies that both low- and high-earning workers use to find and complete tasks via a survey of 360 workers. Nearly all workers surveyed had earning money as their primary goal, and workers used many of the same tools (browser extensions and scripts) and strategies in an attempt to earn more money, regardless of earning level. However, high-earning workers used more tools, were more involved in worker communities, and more heavily used batch completion strategies. A natural next step is to use automated systems to assist workers with finding and completing tasks. Workers found this idea interesting, but expressed concerns about impact on the quality of their work and whether using automated tools to support them would violate platform rules. We conclude with ideas for future work in supporting workers to earn more and design considerations for such tools.

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Published

2018-06-15

How to Cite

Kaplan, T., Saito, S., Hara, K., & Bigham, J. (2018). Striving to Earn More: A Survey of Work Strategies and Tool Use Among Crowd Workers. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 6(1), 70-78. https://doi.org/10.1609/hcomp.v6i1.13327